Learning-based Autonomous Robotic System for Package Sorting Application

With the advent of e-commerce and logistics industry, numerous goods are delivered every day. Sorting systems play a pivotal role in orders delivery practices. Advanced sorting systems are required nowadays because e-commerce retailers are usually confronted with different orders, each consisting of various items. Integrated sorting systems typically consist of a mix of conveyors tied together which are controlled by the Warehouse Management System (WMS). Traditional objects sorting lines rely on human operators to locate and pick each product by hand.

Blade Fragmentation modeling in hard-wall containment systems

According to the existing airworthiness standards, aircraft turbofan engine certification must demonstrate its ability to contain a fan blade should the blade accidentally separate under critical operating conditions. P&WC has established a full engine computational analysis process. In the continuing evolution of this modelling process, several areas requiring improvement have been identified as critical.

Inspection of Bridges in Ontario for Damage Detection and Rehabilitation

This Mitacs project will undertake bridge inspections of 33 road bridges in Ontario to determine locations and level of damages in these bridges and suggest appropriate rehabilitation techniques to keep these bridges in service. The data collected will be added to the current pool of similar data already collected by the industry partner, MEDA to develop an inhouse bridge inspection manual. This manual will allow MEDA to be more productive and have a competitive advantage for the future bridge inspection projects.

Faults Detection and Recovery in Automobile Engines Machining and Assembly Systems Using AI and Machine Learning

Ford is applying Industry 4.0 smart manufacturing technologies in its re-tooled and new plants in Canada. This project aims to research, in cooperation with Ford, intelligent methods for recognizing patterns of machines faults and their causes and develop recovery strategies based on artificial intelligence (AI) and Machine Learning (ML) using data analytics, neural networks, and deep learning methods. It will also investigate the contribution of workers-automation interactions to faults occurrence using data, and minimizing, and discovering possible correlations or trends.

Low Cost Eye-Tracking Data Analytic System for Vision Therapy

A significant percentage of children around the world are affected by vision problems, such as lazy eye, that cannot be fixed by eyeglasses. When left untreated, vision problems may lead to learning difficulties. Vision therapy offers treatment to many of these problems where eye-trackers are tools used to diagnose and measure the progress of patients undergoing vision therapy for these vision problems. However, vision therapy remains out of reach for many patients due to the cost of eye-tracking services.

Development of Environmentally Friendly Materials for 3D Concrete Printing

The construction industry is moving towards automation using 3D concrete printing (3DCP) technology. The 3DCP technology has many advantages including a positive impact on our environment. Current 3D printing material uses a large amount of Portland cement (PC) and natural resources (sand and crushed stones). These printing materials are environmentally harmful because the production of PC is responsible for about 8% of total CO2 emissions. Use of natural resources also creates CO2 emissions and depletion of our natural resources.

Direct Solution Processing of Fullerene C60 with Branched Polyethylene Towards Improved Organic Electronics

Organic solar cells are promising sources of renewable energy, with the added benefit of mechanical flexibility making them particularly desirable for many applications compared to traditional silicon solar cells. However, high cost and low efficiency has thus far hindered the commercialization of organic devices, restricting their development to academic research labs.

Validating new lateral flow assays for COVID-19 antigen and neutralizing antibodies

COVID-19 will be receding as vaccination accelerates in Canada. However, until the entire world is vaccinated, mutated vaccine-resistant virus will threaten to re-emerge. Furthermore, we know that the vaccines will not protect indefinitely, but will require booster shots. We need to track who is protected, and who is not. The gold standard lab biochemical tests are prohibitively expensive to monitor the Canadian population. We need inexpensive, rapid, mass-production ready, simple tests that can be deployed at the point of care to determine COVID-immunity, and even infection status.

The effects of racialized culture in recruiting diverse talent

This project focuses on the visible minorities with higher education or work skills (e.g., international graduates or skilled workers immigrants) and investigates the barriers for these immigrants to find a job at their level of skill and education. More specifically, this research seeks to understand how much racialized culture plays a part in recruiting diverse talent. There will be no limitation in terms of the industries of the employers in our sample population. For our sample population, we focus on and include as many employers as possible from the Windsor area.

Intelligent Control of Clean Combustion Low Carbon GDI Engine: Oxygen Sensor, Fuel Injection, and Engine Cold-start

Internal combustion engines currently power an overwhelming majority of automotive vehicles, i.e., more than 95% passenger cars and virtually all commercial trucks worldwide. The proper performances of oxygen sensors are essential for precise control of air-fuel ratio to optimize engine combustion efficiency and emission performances. This project will characterize the impacts of physical and chemical exhaust gas conditions on the O2 sensor performance to improve the O2-sensor for guiding partner's application in the production engine including other NOx sensor and H2 sensing feasibilities.